Scalable system and engine for forecasting wind turbine failure

A failure prediction system, comprising

• at least one processor;
• and
• memory containing instructions, the instructions being executable by the at least one processor to:
• receive sensor measurements including time data from one or more wind turbines over time;
• align time domain data of the sensor measurements of a particular wind turbine with a rotation speed of the particular wind turbine, the particular wind turbine being at least one of the one or more wind turbines;
• transform the aligned time domain data to obtain a cepstrum data;
• identify one or more quefrency components of the cepstrum data that correspond to periodicities of interest;
• classify at least one of the one or more quefrency components with future failure of at least one component of the particular wind turbine;
• and
• provide an alert to a user based on the classification to alert the user of a predicted failure of the particular wind turbine.

A method comprising:

• receiving sensor measurements including time data from one or more wind turbines over time;
• aligning time domain data of the sensor measurements of a particular wind turbine with a rotation speed of the particular wind turbine, the particular wind turbine being at least one of the one or more wind turbines;
• transforming the aligned time domain data to obtain a cepstrum data;
• identifying one or more quefrency components of the cepstrum data that correspond to periodicities of interest;
• classifying at least one of the one or more quefrency components with future failure of at least one component of the particular wind turbine;
• and
• providing an alert to a user based on the classification to alert the user of a predicted failure of the particular wind turbine.